Post-treatment Optical Coherence Tomography Research Articles

Diagnosis and treatment of angiographically unclear coronary lesions.

Although selective coronary angiography is the gold standard diagnostic technique for coronary lesions, this method does not provide all information regarding pathophysiologic mechanisms. We herein describe a patient in their early 60s with a 3-month history of pronounced angina. Coronary angiography revealed a central line of illumination in the proximomedial segment of the right coronary artery, suggesting a chronic coronary dissection/recanalized thrombus, along with positive remodeling and TIMI grade 2 flow. Optical coherence tomography showed a recanalized thrombus and multiple lumens separated by thin septa. Because of the significantly reduced flow and signs of ischemia in the right coronary artery irrigation territory, we decided to perform percutaneous coronary intervention. Post-treatment optical coherence tomography indicated optimal apposition and expansion of the stents with positive remodeling of the blood vessel. We believe that decisions regarding treatment modalities should be guided by the presence or absence of ischemia. Lesions that are causing myocardial ischemia should be revascularized; otherwise, medical treatment can be utilized.

Biomarkers-Aware Asymmetric Bibranch GAN with Adaptive Memory Batch Normalization for Prediction of Anti-VEGF Treatment Response in Neovascular Age-related Macular Degeneration.

The emergence of anti-vascular endothelial growth factor (anti-VEGF) therapy has revolutionized neovascular age-related macular degeneration (nAMD). Post-therapeutic optical coherence tomography (OCT) imaging facilitates the prediction of therapeutic response to anti-VEGF therapy for nAMD. Although the generative adversarial network (GAN) is a popular generative model for post-therapeutic OCT image generation, it is realistically challenging to gather sufficient pre- and post-therapeutic OCT image pairs, resulting in overfitting. Moreover, the available GAN-based methods ignore local details, such as the biomarkers that are essential for nAMD treatment. To address these issues, a Biomarkers-aware Asymmetric Bibranch GAN (BAABGAN) is proposed to efficiently generate post-therapeutic OCT images. Specifically, one branch is developed to learn prior knowledge with a high degree of transferability from large-scale data, termed the source branch. Then, the source branch transfer knowledge to another branch, which is trained on small-scale paired data, termed the target branch. To boost the transferability, a novel Adaptive Memory Batch Normalization (AMBN) is introduced in the source branch, which learns more effective global knowledge that is impervious to noise via memory mechanism. Also, a novel Adaptive Biomarkers-aware Attention (ABA) module is proposed to encode biomarkers information into latent features of target branches to learn finer local details of biomarkers. The proposed method outperforms traditional GAN models and can produce high-quality post-treatment OCT pictures with limited data sets, as shown by the results of experiments.

Low rates of optical coherence tomography utilization in the diagnosis and management of retinovascular diseases in a lower middle-income economy.

Optical coherence tomography (OCT) is widely used as the standard of care in evaluating macular and retinovascular diseases. However, the degree of OCT utilization is yet to be researched in a resource-limited country where wide gaps exist in access to healthcare. To determine the rate of utilization of the OCT in diagnosis, pre-treatment, and post-treatment evaluation of macular and retinovascular diseases treated with intravitreal anti-vascular endothelial growth factor injection (IVI). Retrospective, consecutive, and non-comparative case series of eyes diagnosed and treated from Jan 2017 to Jan 2022 for seven macular and retinovascular diseases in five eye clinics in Nigeria. Data extracted include demographics, indication for IVI, eye treated, use or non-use of OCT at the diagnosis (pre-treatment) and after the last IVI (post-treatment), and central macular thickness (CMT) of pre-treatment OCT scans. Seven hundred and forty two eyes were diagnosed with retinovascular and macular diseases (389 right eyes and 353 left eyes).The male to female ratio was 430: 312 eyes. The mean age was, 63.89 years (SD 12.58). Four hundred and fifty two eyes (60.9%) had a pre-treatment OCT, 235 eyes (31.7%) had a post-treatment OCT, and 190 eyes (25.6%) had both pre- and post-treatment OCTs. The rate of pre-treatment OCT varied with the diagnosis (P = 0.000); DME had the highest rate, 74.4%, and HRVO had the lowest, 40%. Post-treatment OCT rate varied with the diagnosis (P = 0.009); non-AMD CNVM had the highest rate, 49.1%, and PCV had the lowest, 24.6%. Pre-treatment OCT rate was influenced by clinic location (P = 0.000); higher in clinics having an OCT. Post-treatment OCT was not influenced by clinic location (P = 0.37). A CRVO eye had the highest maximum CMT (1031 microns) of all the pre treatment eyes and the lowest minimum CMT of all the pre treatment eyes was in a BRVO eye (138 microns). Mean CMT was highest in HRVO (475.33 microns) and lowest in CNVM (307.62 microns). Though OCT is the standard of care for managing retinovascular and macular diseases, this research quantifies the extent of its use in Nigeria and finds it to be low. A post-treatment OCT rate of 32% suggests that urgent steps are required to improve access to OCT for IVI patients.

Prediction of OCT images of short-term response to anti-VEGF treatment for diabetic macular edema using different generative adversarial networks.

This study sought to assess the predictive performance of optical coherence tomography (OCT) images for the response of diabetic macular edema (DME) patients to anti-vascular endothelial growth factor (VEGF) therapy generated from baseline images using generative adversarial networks (GANs). Patient information, including clinical and imaging data, was obtained from inpatients at the Ophthalmology Department of Qilu Hospital. 715 and 103 pairs of pre-and post-treatment OCT images of DME patients were included in the training and validation sets, respectively. The post-treatment OCT images were used to assess the validity of the generated images. Six different GAN models (CycleGAN, PairGAN, Pix2pixHD, RegGAN, SPADE, UNIT) were applied to predict the efficacy of anti-VEGF treatment by generating OCT images. Independent screening and evaluation experiments were conducted to validate the quality and comparability of images generated by different GAN models. OCT images generated f GAN models exhibited high comparability to the real images, especially for edema absorption. RegGAN exhibited the highest prediction accuracy over the CycleGAN, PairGAN, Pix2pixHD, SPADE, and UNIT models. Further analyses were conducted based on the RegGAN. Most post-therapeutic OCT images (95/103) were difficult to differentiate from the real OCT images by retinal specialists. A mean absolute error of 26.74±21.28μm was observed for central macular thickness (CMT) between the synthetic and real OCT images. Different generative adversarial networks have different prognostic efficacy for DME, and RegGAN yielded the best performance in our study. Different GAN models yielded good accuracy in predicting the OCT-based response to anti-VEGF treatment at one month. Overall, the application of GAN models can assist clinicians in prognosis prediction of patients with DME to design better treatment strategies and follow-up schedules.

Deep Learning Prediction of Response to Anti-VEGF among Diabetic Macular Edema Patients: Treatment Response Analyzer System (TRAS).

Diabetic macular edema (DME) is the most common cause of visual impairment among patients with diabetes mellitus. Anti-vascular endothelial growth factors (Anti-VEGFs) are considered the first line in its management. The aim of this research has been to develop a deep learning (DL) model for predicting response to intravitreal anti-VEGF injections among DME patients. The research included treatment naive DME patients who were treated with anti-VEGF. Patient’s pre-treatment and post-treatment clinical and macular optical coherence tomography (OCT) were assessed by retina specialists, who annotated pre-treatment images for five prognostic features. Patients were also classified based on their response to treatment in their post-treatment OCT into either good responder, defined as a reduction of thickness by >25% or 50 µm by 3 months, or poor responder. A novel modified U-net DL model for image segmentation, and another DL EfficientNet-B3 model for response classification were developed and implemented for predicting response to anti-VEGF injections among patients with DME. Finally, the classification DL model was compared with different levels of ophthalmology residents and specialists regarding response classification accuracy. The segmentation deep learning model resulted in segmentation accuracy of 95.9%, with a specificity of 98.9%, and a sensitivity of 87.9%. The classification accuracy of classifying patients’ images into good and poor responders reached 75%. Upon comparing the model’s performance with practicing ophthalmology residents, ophthalmologists and retina specialists, the model’s accuracy is comparable to ophthalmologist’s accuracy. The developed DL models can segment and predict response to anti-VEGF treatment among DME patients with comparable accuracy to general ophthalmologists. Further training on a larger dataset is nonetheless needed to yield more accurate response predictions.

POST-TREATMENT PREDICTION OF OPTICAL COHERENCE TOMOGRAPHY USING A CONDITIONAL GENERATIVE ADVERSARIAL NETWORK IN AGE-RELATED MACULAR DEGENERATION.

To develop a deep learning model to generate posttreatment optical coherence tomography (OCT) images of neovascular age-related macular degeneration. Two hundred ninety-eight patients with neovascular age-related macular degeneration were included. The conditional generative adversarial network was trained using 15,183 augmented paired OCT B-scan images obtained from 723 scans of 241 patients at baseline and 1 month after 3 loading doses of an anti-vascular endothelial growth factor treatment. The network was also trained using baseline fluorescein angiography (FA) or indocyanine green angiography (ICGA) images together with baseline OCT images. A test set of 150 images of 50 eyes was used to evaluate its ability to predict the presence of intraretinal fluid, subretinal fluid, PED, and subretinal hyperreflective material. Posttreatment OCT images were compared with images generated from baseline OCT with or without FA and indocyanine green angiography images. The predicted images inferred from baseline OCT images achieved an acceptable accuracy, specificity, and negative predictive value for four lesions (range: 77.0-91.9, 94.1-95.1, and 54.7-96.5%, respectively). The addition of both FA and indocyanine green angiography images improved the accuracy, specificity, and negative predictive value (range: 80.7-96.3, 97.3-99.0, and 59.0-98.3%, respectively). A conditional generative adversarial network is able to generate posttreatment OCT images from baseline OCT, FA, and indocyanine green angiography images.

Optical coherence tomography features of retinal lesions in Chinese patients with endogenous Candida endophthalmitis

BackgroundTo evaluate the optical coherence tomography (OCT) features of retinal lesions in Chinese patients with endogenous Candida endophthalmitis (ECE).MethodsWe performed a retrospective review of patients diagnosed with ECE at one medical center. The medical records of the patients including predisposing risk factors, treatment and visual acuity were reviewed. And we focused on the analysis of OCT images of retinal lesions before and after treatment.ResultsA total of 16 Chinese patients (22 eyes) were included in this study. The most frequent predisposing risk factors were intravenous use of corticosteroids or antibiotics, lithotripsy for urinary calculi, and diabetes. After treatment, visual acuity was improved in 13 (59.1%) of the 22 eyes, and remained the same in the other 9 (40.9%) eyes. Pre-treatment OCT images obtained at presentation were available for 17 of the 22 eyes. Four types of the OCT manifestations of retinal lesions were identified: type 1 (subretinal macular lesions), type 2 (lesions are located in the inner retinal layer), type 3 (lesions involve the full-thickness retina and accompanied with macular edema), type 4 (sub-inner limiting membrane lesions). Pre-treatment OCT imaging of the 17 eyes revealed five as type 1, four as type 2, six as type 3, and two as type 4. After treatment, OCT images revealed epiretinal membrane and subretinal fibrosis as the most common post-treatment complications of ECE. Epiretinal membrane was detected in 2/4 type 2 lesions, in 4/6 type 3 lesions, and in 1/2 type 4 lesions, while subretinal fibrosis was mainly seen in type 1 lesions (4/5). Among the types, visual prognosis was best in eyes with type 2 lesions.ConclusionsIn this case series, the OCT manifestations of retinal lesions in ECE could be classified into four types. The post-treatment OCT manifestations were different in four types of lesions. We preliminarily found that the OCT morphology of retinal lesions was associated with the visual prognosis of ECE.

Salvage of the retinal ganglion cells in transition phase in Alzheimer's disease with topical coenzyme Q10: is it possible?

The evaluation of the short-term effect of topically applied coenzyme Q10 (CoQ10) on retina and choroid in Alzheimer's disease (AD) was aimed in this study. Randomized controlled study included a total of 93 patients, 62 of whom with AD. Thirty (32.3%) AD patients received treatment (Group 1), 32 (34.4%) AD patients observed without treatment (Group 2), and Group 3 included 31 (33.3%) healthy controls (HC). Neurological and ophthalmological examinations including optical coherence tomography (OCT) were executed. Retinal nerve fiber layer (RNFL) thickness in all quadrants increased following CoQ10 treatment in Group 1; however significant rise yielded in average and temporal quadrant RNFL thickness. Average and superonasal sector ganglion cell-inner plexiform layer (GCIPL) thickness increased significantly following CoQ10 treatment. The correlation analysis between difference in pre- and posttreatment OCT values in Group 1 revealed that rise in average RNFL thickness was inversely correlated with duration of the disease and rise in average GCIPL thickness and superonasal sector thickness was inversely correlated with severity of the disease. Short-term topical CoQ10 resulted in improvement in AD related retinal ganglion cell (RGC) loss which may reflect the salvage of some RGCs in the reversible transitional phase. More bioavailability through intravitreal route of administration and longer duration of effect with sustained release forms may possibly help enhalting the RGC loss, especially incipience of neurodegenerative diseases.

Laser brain cancer surgery in a xenograft model guided by optical coherence tomography.

Higher precision surgical devices are needed for tumor resections near critical brain structures. The goal of this study is to demonstrate feasibility of a system capable of precise and bloodless tumor ablation. An image-guided laser surgical system is presented for excision of brain tumors in vivo in a murine xenograft model. The system combines optical coherence tomography (OCT) guidance with surgical lasers for high-precision tumor ablation (Er:YAG) and microcirculation coagulation (Thulium (Tm) fiber laser).Methods: A fluorescent human glioblastoma cell line was injected into mice and allowed to grow four weeks. Craniotomies were performed and tumors were imaged with confocal fluorescence microscopy. The mice were subsequently OCT imaged prior, during and after laser coagulation and/or ablation. The prior OCT images were used to compute three-dimensional tumor margin and angiography images, which guided the coagulation and ablation steps. Histology of the treated regions was then compared to post-treatment OCT images.Results: Tumor sizing based on OCT margin detection matched histology to within experimental error. Although fluorescence microscopy imaging showed the tumors were collocated with OCT imaging, margin assessment using confocal microscopy failed to see the extent of the tumor beyond ~ 250 µm in depth, as verified by OCT and histology. The two-laser approach to surgery utilizing Tm wavelength for coagulation and Er:YAG for ablation yielded bloodless resection of tumor regions with minimal residual damage as seen in histology.Conclusion: Precise and bloodless tumor resection under OCT image guidance is demonstrated in the murine xenograft brain cancer model. Tumor margins and vasculature are accurately made visible without need for exogenous contrast agents.

Retrospective cohort study exploring whether an association exists between spatial distribution of cystoid spaces in cystoid macular oedema secondary to retinitis pigmentosa and response to treatment with carbonic anhydrase inhibitors

BackgroundCarbonic anhydrase inhibitors (CAIs) are frequently used as an initial step to treat retinitis pigmentosa-associated cystoid macular oedema (RP-CMO). Interestingly, it has been postulated that CAIs might reduce outer nuclear...

Idiopathic macular holes and direction of vitreomacular traction: structural changes and surgical outcomes.

PurposeTo compare the structural changes, clinical course, and treatment outcomes of vertical and horizontal vitreomacular traction (VMT) induced impending macular holes (IMHs) and full-thickness macular holes (FTMHs).MethodsIn this retrospective study, 23 and 32 cases of IMHs and FTMHs, respectively, were analyzed. The IMH cases were divided into two subgroups: IMH with and without foveal detachment. Vitreofoveal traction angles (TAs) between the inner retinal surface and posterior hyaloid were measured from horizontal and vertical optical coherence tomography (OCT) images by using the trigonometric function (the angle equals the arctangent of the height over the base) after adjustments for magnification factors. The largest angle was defined as the vitreomacular TA for the examined case. The critical angle-the TA differentiating cases with (vertical traction) or without (horizontal traction) foveal detachment (vertical traction)-was determined using regression analysis. Pretreatment and posttreatment OCT images, clinical courses, and treatment outcomes were compared between the two groups.ResultsThe critical angle was 27.2°. Cases of vertical traction had higher foveal height in the IMH group and wider bases in the FTMH group (P<0.05 respectively). IMHs with vertical traction had greater VM attachment than those with horizontal traction. In the FTMH group, postoperative visual improvement was lower (P=0.002); in the vertical traction group, inner segment:outer segment defects persisted longer (P=0.02).ConclusionsThe critical angle separating vertical from horizontal traction was 27.2°. Vertical VMT results in greater foveal structural changes in IMHs and possibly less favorable surgical outcomes in FTMHs.

Use of optical coherence tomography in predicting post-treatment visual outcome in anterior visual pathway meningiomas

PurposeTo determine the prognostic value of pretreatment optical coherence tomography (OCT) measurement of the peripapillary retinal nerve fibre layer (PRNFL) in final visual outcomes of patients with anterior visual pathway...

Interobserver variability for retreatment indications after Ranibizumab loading doses in neovascular age-related macular degeneration

To assess the interobserver variability (IOV) in indicating retreatment for neovascular Age-related macular degeneration 4 weeks after three Ranibizumab loading doses using spectral domain OCT (SD-OCT) as the primary objective diagnostic tool. Four observers decided for or against 4th Ranibizumab injection in 108 patients by six different rating rounds (RR) based on the SD-OCT findings after the loading doses. Postoperative OCT images were supplemented consecutively with information from a chart review as the 'patients subjective estimation of vision (SE)', the course of best-corrected visual acuity (BCVA) and the preoperative OCT as well as all information collectively. Agreement rates (AR) and Kappa statistics were calculated. Based on post-treatment OCT findings only (RR1), mean reinjection rate of all observers was 37.5%. Adding supplementary information, mean reinjection rate decreased to 20% when all information was available reflecting the 'real' situation (RR 6). Interobserver agreement rates varied from 66.7% to 90.7% depending on rating rounds and interobserver pairs. Mean AR and Kappa values (KV) were as following: AR 81.6%, KV 0.61 (RR1: 'only post-OP OCT'); AR 76.7%, KV 0.33 (RR2: post-OP OCT + SE); AR 80.3%, KV 0.45 (RR3: post-OP OCT + BCVA); AR 80.7%, KV 0.46 (RR4: pre- and post-OP OCT); AR 82.2%, KV 0.49 (RR5: post-OP OCT + SE + BCVA); and finally AR 83.6%, KV 0.47 (RR6: pre- and post-OP OCT + SE + BCVA). The overall mean agreement rate was 80.9% with a Kappa of 0.47. IOV for indicating retreatment after three Ranibizumab loading doses reveals only moderate agreement in Kappa statistics, which seems to be too low considering the high costs for retreatments. More concise guidelines based on the post-treatment OCT scans as the presumably most sensitive and noninvasive objective tool to follow choroidal neovascularization activity by judging the course of sub- and intraretinal fluid are necessary.

Intravitreal Bevacizumab for the Treatment of Refractory Diabetic Macular Edema

To report the effect of intravitreal bevacizumab on visual acuity and central retinal thickness (CRT) in refractory diabetic macular edema. Records of 60 eyes of 54 consecutive patients who underwent intravitreal bevacizumab therapy for refractory diabetic macular edema were reviewed. All eyes received intravitreal bevacizumab 1.25 mg/0.05 mL, and 36 eyes underwent pretreatment and post-treatment optical coherence tomography. Mean follow-up was 7.4 months. Pretreatment mean visual acuity plus or minus standard deviation was 0.71 +/- 0.28 logarithm of the minimum angle of resolution (LogMAR) Snellen letters. At final follow-up, mean visual acuity had improved to 0.66 +/- 0.30 LogMAR (P = .0543). Mean baseline CRT was 440 +/- 106 microm, and follow-up mean CRT was 386 +/- 129 microm (P = .008). Vitrectomized eyes had worse visual acuity and CRT outcomes (P = .002 and P = .028, respectively) compared with nonvitrectomized eyes. Intravitreal bevacizumab may provide a functional and anatomic benefit in eyes with persistent diabetic macular edema despite previous treatments.